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» Mobile learning: A framework and evaluation
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ECCV
2010
Springer
15 years 10 months ago
Multi-Person Tracking with Sparse Detection and Continuous Segmentation
This paper presents an integrated framework for mobile street-level tracking of multiple persons. In contrast to classic tracking-by-detection approaches, our framework employs an ...
AMS
2007
Springer
229views Robotics» more  AMS 2007»
15 years 9 months ago
A Unified Robotic Software Architecture for Service Robotics and Networks of Smart Sensors
Abstract. This paper proposes a novel architecture for the programming of multi-modal service robots and networked sensors. The presented software framework eases the development o...
Daniel Westhoff, Jianwei Zhang
ICRA
2002
IEEE
105views Robotics» more  ICRA 2002»
15 years 10 months ago
Learning Behavioral Parameterization using Spatio-Temporal Case-Based Reasoning
This paper presents an approach to learning an optimal behavioral parameterization in the framework of a Case-Based Reasoning methodology for autonomous navigation tasks. It is ba...
Maxim Likhachev, Michael Kaess, Ronald C. Arkin
ICML
2009
IEEE
16 years 11 days ago
Active learning for directed exploration of complex systems
Physics-based simulation codes are widely used in science and engineering to model complex systems that would be infeasible to study otherwise. Such codes provide the highest-fid...
Michael C. Burl, Esther Wang
CVPR
2012
IEEE
13 years 8 months ago
RALF: A reinforced active learning formulation for object class recognition
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
Sandra Ebert, Mario Fritz, Bernt Schiele